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Learning Python for Forensics

You're reading from   Learning Python for Forensics Leverage the power of Python in forensic investigations

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Product type Paperback
Published in Jan 2019
Publisher Packt
ISBN-13 9781789341690
Length 476 pages
Edition 2nd Edition
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Authors (2):
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Preston Miller Preston Miller
Author Profile Icon Preston Miller
Preston Miller
Chapin Bryce Chapin Bryce
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Chapin Bryce
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Table of Contents (15) Chapters Close

Preface 1. Now for Something Completely Different 2. Python Fundamentals FREE CHAPTER 3. Parsing Text Files 4. Working with Serialized Data Structures 5. Databases in Python 6. Extracting Artifacts from Binary Files 7. Fuzzy Hashing 8. The Media Age 9. Uncovering Time 10. Rapidly Triaging Systems 11. Parsing Outlook PST Containers 12. Recovering Transient Database Records 13. Coming Full Circle 14. Other Books You May Enjoy

Classes and object-oriented programming

Python supports object-oriented programming (OOP) using the built-in class keyword. Object-oriented programming allows advanced programming techniques and sustainable code that supports better software development. Because OOP is not commonly used in scripting and is above the introductory level, this book will implement OOP and some of its features in later chapters after we master the basic features of Python. What's important to keep in mind is almost everything in Python, including classes, functions, and variables, are objects. Classes are useful in a variety of situations, allowing us to design our own objects to interact with data in a custom manner.

Let's look at the datetime module for an example of how we will interact with classes and their methods. This library contains several classes, such as datetime, timedelta,...

You have been reading a chapter from
Learning Python for Forensics - Second Edition
Published in: Jan 2019
Publisher: Packt
ISBN-13: 9781789341690
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